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PubMed2026

ChromID: A Protocol for Mapping Protein Chromatin Interactions in Living Cells.

Chromatin modifications regulate genome function by recruiting proteins that control transcription, genome organization, and DNA repair. Identifying the proteins associated with specific chromatin modifications is therefore essential for understanding how these regulatory processes operate. Traditional approaches, including chromatin immunoprecipitation and affinity purification coupled to mass spectrometry, have uncovered many chromatin-associated proteins. However, they often rely on crosslinking and chromatin fragmentation, which can disrupt native chromatin architecture and limit the detection of transient interactions. Here, we describe a proximity-labeling protocol for identifying the chromatin-dependent protein interactome associated with specific chromatin marks, termed ChromID. ChromID uses engineered chromatin readers (eCRs) fused to a promiscuous biotin ligase, which labels proteins in the immediate vicinity of the targeted chromatin mark. The protocol includes in vivo biotin labeling, nuclear extract preparation, streptavidin-based enrichment, and tryptic digestion for downstream LC-MS/MS analysis. The protocol has been validated across multiple cell types and chromatin contexts and can be extended to other chromatin-associated proteins, providing a versatile approach to profile chromatin-associated proteomes within their native cellular environment. Key features • Maps proteins associated with different chromatin modifications in living cells using engineered chromatin readers fused to TurboID, BASU, or other promiscuous biotin ligases. • Preserves native chromatin organization and captures transient chromatin-associated interactions that are often lost during conventional affinity purification workflows. • Validated across multiple chromatin contexts, including histone modifications, DNA methylation, transcription factors, RNA polymerase II, and DNA damage-associated chromatin states. • Applicable to diverse cell types and organisms and adaptable to other chromatin-associated proteins, including transcription factors and chromatin regulators.

Biotin proximity labeling↗
PubMed2001

[The present status and future prospect of the molecular diagnostic tests].

Assays for DNA or RNA sequences to diagnose infectious, neoplastic and genetic diseases have been widely used through recent progress in the molecular biology and biotechnology, and are now essential in care of patients under the advanced medicine through earlier and more accurate diagnosis. Automated systems have been developed for amplification and detection of nucleic acid sequence for infectious agents, using various nucleic acid amplification technology such as PCR. A fully automated PCR system and automated extraction of specific sequence for infectious agents such as hepatitis C virus RNA has been developed. These automated systems have provided improvement of not only assay efficiency but also quality control of the tests and have contributed to the standardization of them. Importance of development of systems for quality assessment and laboratory accreditation has been emphasized, particularly in those that still have been performed with manual methods. Based on the information on the genome sequence as the outcome of the human genome project, functions of genes and proteins have been studied by post-genomics such as expression profiling using DNA microarray, proteomics, single nucleotide polymorphisms analysis, coupled with bioinformatics. Along with advances in pharmacogenomics, these studies have raised the prospect of the development of tests for individualized medicine based on genetic information such as those predicting individual susceptibility to diseases for prevention and responsiveness to drugs for choice of treatment. For practice of such medicine, each genetic information and tests for it must be carefully evaluated and determined whether it is appropriate for cost-effective medicine through contributions to efficient process of decision-makings on patient care for prevention or avoidance of diseases and thus to cost savings.

Cytogenetic Analysis↗
PubMed2004

Fractionation of soluble proteins in Escherichia coli using DEAE-, SP-, and phenyl sepharose chromatographies.

In an effort to simplify a complex mixture of soluble proteins from Escherichia coli, methods to fractionate the samples prior to two-dimensional (2D) gel electrophoresis were developed. These methods involve the use of DEAE-Sepharose, SP-Sepharose, and phenyl Sepharose chromatographic columns and the fractionation of the protein mixtures based on differential anionic, cationic, and hydrophobic properties of the proteins, respectively. Fractionation of the soluble proteins from an E. coli extract with DEAE-Sepharose resulted in a threefold increase in the number of detectable 2D gel spots. These gel spots were amenable to protein identification by using in-gel trypsin digestions, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, and peptide mass fingerprinting. Significantly, the DEAE-Sepharose column fractionation effectively partitioned the soluble proteins from the cell extracts. Similarly, an SP-Sepharose column was used to fractionate the soluble proteins from E. coli and resulted in over a twofold increase in the number of detectable gel spots. Lastly, fractionation of the cell extract with the phenyl Sepharose column resulted in a threefold increase in the number of detectable 2D gel spots. This work describes an easy, inexpensive way to fractionate the soluble proteins in E. coli and a way to better profile the E. coli proteome.

Bacterial Proteins↗
PubMedDate not supplied

Toxicogenomics in drug development.

Toxicogenomics represents the merging of toxicology with technologies that have been developed, together with bioinformatics, to identify and quantify global gene expression changes. It represents a new paradigm in drug development and risk assessment, which promises to generate a wealth of information towards an increased understanding of the molecular mechanisms that lead to drug toxicity and efficacy, and of DNA polymorphisms responsible for individual susceptibility to toxicity. Gene expression profiling, through the use of DNA microarray and proteomic technologies will aid in establishing links between expression profiles, mode of action and traditional toxic endpoints. Such patterns of gene expression, or 'molecular fingerprints' could be used as diagnostic or predictive markers of exposure, that is characteristic of a specific mechanism of induction of that toxic or efficacious effect. It is anticipated that toxicogenomics will be increasingly integrated into all phases of the drug development process particularly in mechanistic and predictive toxicology, and biomarker discovery. This review provides an overview of the expression profiling technologies applied in toxicogenomics. and discusses the promises as well as the future challenges of applying this discipline to the drug development process.

Animals↗
PubMed2003

Proteome reference map of Pseudomonas putida strain KT2440 for genome expression profiling: distinct responses of KT2440 and Pseudomonas aeruginosa strain PAO1 to iron deprivation and a new form of superoxide dismutase.

The genome sequence of Pseudomonas putida strain KT2440, a nutritionally versatile, saprophytic and plant root-colonizing Gram-negative soil bacterium, was recently determined by K. E. Nelson et al. (2002, Environ Microbiol 4: 799-808). Here, we present a two-dimensional gel protein reference map of KT2440 cells grown in mineral salts medium with glucose as carbon source. Proteins were identified by matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) analysis, in conjunction with an in-house database developed from the genome sequence of KT2440, and approximately 200 two-dimensional gel spots were assigned. The map was used to assess the genomic response of KT2440 to iron limitation stress and to compare this response with that of the closely related facultative human pathogen Pseudomonas aeruginosa strain PAO1. The synthesis of about 25 proteins was affected in both strains, including four prominent upregulated ferric uptake regulator (Fur) protein-dependent proteins, but there were also striking differences in their proteome responses, for example in the expression of superoxide dismutases (Sod), which may indicate important roles of iron-responsive functions in the adaptation of these two bacteria to different lifestyles. The Sod enzyme of KT2440 was shown to be a novel heterodimer of the SodA and SodB polypeptides.

Adaptation, Biological↗
PubMed2004

Proteomics in the chicken: tools for understanding immune responses to avian diseases.

The entire chicken genome sequence will be available by the time this review is in press. Chickens will be the first production animal species to enter the "postgenomic era." This fundamental structural genomics achievement allows, for the first time, complete functional genomics approaches for understanding the molecular basis of chicken normo- and pathophysiology. The functional genomics paradigm, which contrasts with classical functional genetic investigations of one gene (or few) in isolation, is the systematic holistic genetic analyses of biological systems in defined contexts. Context-dependent gene interactions are the fundamental mechanics of all life. Functional genomics uses high-throughput large-scale experimental methods combined with statistical and computational analyses. Projects with expressed sequence tags in chickens have already allowed the creation of cDNA microarrays for large-scale context-dependant mRNA analysis (transcriptomics). However, proteins are the functional units of almost all biological processes, and protein expression very often bears no correlation to mRNA expression. Proteomics, a discipline within functional genomics, is the context-defined analysis of complete complements of proteins. Proteomics bridges the "sequence-to-phenotype gap;" it complements structural and other functional genomics approaches. Proteomics requires high capital investment but has ubiquitous biological applications. Although currently the fastest-growing human biomedical discipline, new paradigms may need to be established for production animal proteomics research. The prospective promise and potential pitfalls of using proteomics approaches to improve poultry pathogen control will be specifically highlighted. The first stage of our recently established proteomics program is global protein profiling to identify differentially expressed proteins in the context of the commercially important pathogens. Our trials and tribulations in establishing our proteomics program, as well some of our initial data to understand chicken immune system function, will be discussed.

Animals↗
PubMed2000

Better approaches to finding the needle in a haystack: optimizing proteome analysis through automation.

Recent evidence has demonstrated a lack of correlation between transcriptional profiles and actual protein levels in cells. Proteome analysis has therefore become indispensable and complementary to genomic analysis for an accurate picture of cellular metabolism. Although proteomics is a relatively young discipline, technology for increasing throughput in proteomic projects is rapidly being developed. The operating paradigm in proteome analysis today is a combination of two-dimensional (2-D) gel electrophoresis (for protein resolution) with mass spectrometry (for protein identification). All the intermediary steps in the procedure including gel staining, image analysis, protein spot excision, digestion and mass spectrometry can be automated to increase efficiency and save time. This report reviews the current state of the proteomics technology and discusses approaches to enhance the sensitivity of 2-D gels with fractionation techniques.

Animals↗
PubMed2003

Laser-controlled microdissection of tissues opens a window of new opportunities.

Gene expression analysis using total RNA of bulk tissue usually cannot assign specific messages to particular cell types. Cell-specific RNA expression profiling, though, may be crucial for a better understanding ofthe role of each distinct cell type within a physiological or pathophysiological setting. RNA profiling based on laser-controlled microdissection (LCM) of defined cells of a tissue now provides a useful tool for studying molecular crosstalk between different cell types within a tissue. The LCM technique allows for efficient isolation of single cells with no or very low contamination of surrounding tissue components, simultaneously leaving the intracellular structure and molecules intact. In this review, different issues of the LCM technique and the RNA amplification procedure for microarray analysis are discussed. An exemplary summary of results obtained from gene profiling of epithelial and stromal cells from human prostate tumors is presented, demonstrating the power of LCM-based molecular analysis. Finally, we discuss the potential use of the LCM technique i) to study the transcriptome of distinct cells from formalin-fixed and paraffin-embedded tissues in subcellular RNA profiling and ii) high resolution proteomic and metabolistic studies.

Dissection↗
PubMed2026

Selective Enrichment of Newly Synthesized Proteins Using Phos-Tag Click Tip Enables Nascent Proteome Analysis in Influenza A Virus Infection.

Profiling of newly synthesized proteins (NSPs) provides access to dynamic changes in protein production that accompany acute cellular responses. Bioorthogonal noncanonical amino acid tagging (BONCAT)-based approaches enable selective labeling of NSPs; however, their broader application remains constrained by labor-intensive enrichment workflows and limited sensitivity for direct peptide-level analysis. Here, we developed a workflow termed "Phos-tag Click Tip" by integrating a phosphorylated variant of bicyclononyne (pBCN) with Phos-tag affinity purification to selectively capture azidohomoalanine (AHA)-labeled peptides for newly synthesized proteome analysis (NSProteomics). This approach overcomes key limitations of conventional proteomics and BONCAT-based strategies by enabling efficient enrichment and sensitive detection of NSP-derived peptides. Using this workflow, we performed comprehensive NSP profiling of host cells during influenza A virus infection. We identified dynamic changes in distinct NSP profiles associated with viral replication, host restriction, and immune responses, many of which were not readily detected with conventional whole-cell- or phospho-proteomic analyses. Overall, the Phos-tag Click Tip workflow provides a complementary approach for stimulus-responsive NSP profiling, offering functionally relevant insights into host-virus interactions and cellular response mechanisms.

Proteome↗
PubMed2007

Functional interrogation of the kinome using nucleotide acyl phosphates.

The central role of protein kinases in signal transduction pathways has generated intense interest in targeting these enzymes for a wide range of therapeutic indications. Here we report a method for identifying and quantifying protein kinases in any biological sample or tissue from any species. The procedure relies on acyl phosphate-containing nucleotides, prepared from a biotin derivative and ATP or ADP. The acyl phosphate probes react selectively and covalently at the ATP binding sites of at least 75% of the known human protein kinases. Biotinylated peptide fragments from labeled proteomes are captured and then sequenced and identified using a mass spectrometry-based analysis platform to determine the kinases present and their relative levels. Further, direct competition between the probes and inhibitors can be assessed to determine inhibitor potency and selectivity against native protein kinases, as well as hundreds of other ATPases. The ability to broadly profile kinase activities in native proteomes offers an exciting prospect for both target discovery and inhibitor selectivity profiling.

Adenine Nucleotides↗
PubMed2006

Proteomic analysis in human breast cancer: identification of a characteristic protein expression profile of malignant breast epithelium.

Gene expression analysis has become a promising tool in predicting the clinical course of malignant disease and the response to antineoplastic therapy. Surprisingly, only little is known about the protein expression pattern of human tumors. Recent advances in proteomic analysis allow proteins of interest to be identified by their expression and/or modification pattern in 2-DE rather than using the traditional approach of translating gene expression data. To identify a proteomic pattern that is characteristic for malignant breast epithelium, we performed differential 2-DE analysis in sets of microdissected malignant breast epithelia and corresponding adjacent normal breast epithelia from five patients with invasive breast carcinoma. Thirty-two protein spots were found to be selectively regulated in malignant epithelium, and were subjected to MALDI-TOF and/or immunoblotting for protein identification. Thirteen of the identified proteins had previously not been associated with breast cancer. The validity of these findings was confirmed by literature review and immunohistochemistry for identified proteins in an independent cohort of 50 breast cancer specimens. We here describe, for the first time, a proteomic analysis of matched normal and malignant epithelia from invasive breast carcinomas. This strategy leads to a better understanding of oncogenesis at an operational level and helps to characterize the malignant phenotype of individual tumors, and thereby to identify novel targets for antineoplastic therapy.

Adult↗
PubMed2005

Glycomic/glycoproteomic analysis by liquid chromatography/mass spectrometry: analysis of glycan structural alteration in cells.

The alteration of glycosyltransferase expression and the subsequent changes in oligosaccharide structures are reported in several diseases. The analysis of glycan structural alteration in glycoproteins is becoming increasingly important in the discovery of therapies and diagnostic markers. In this study, we propose a strategy for glycomic/glycoproteomic analysis based on oligosaccharide profiling by LC/MS followed by proteomic approaches, including 2-DE and 2-D lectin blot. As a model of aberrant cells, we used Chinese hamster ovary cells transfected with N-acetylglucosaminyltransferase III (GnT-III), which catalyzes the addition of a bisecting N-acetylglucosamine (GlcNAc) to beta-mannose of the mannosyl core of N-linked oligosaccharides. LC/MS equipped with a graphitized carbon column (GCC) enabled us to elucidate the structural alteration induced by the GnT-III expression. Using 2-D lectin blot followed by LC/MS/MS, the protein carrying an extra N-acetylhexosamine in cells transfected with GnT-III was successfully identified as integrin alpha3. Thus, oligosaccharide profiling by GCC-LC/MS followed by proteomic methods can be a powerful tool for glycomic/glycoproteomic analysis.

Animals↗
PubMed2026

Mapping the covalent cysteine interactome of Ebselen reveals high-sensitivity target engagement and redox proteome remodeling.

Ebselen is a covalent organoselenium compound with broad pharmacological activity, yet its cellular cysteine targets and downstream proteomic consequences remain incompletely defined. Here, we integrated competitive gel-based activity-based protein profiling, reactivity-dependent tandem orthogonal proteolysis-activity-based protein profiling, and TMT-based quantitative proteomics to map Ebselen-induced cysteine engagement and proteome remodeling in living cancer cells. Ebselen exhibited dose-dependent cytotoxicity and markedly perturbed intracellular thiol-redox balance, as reflected by glutathione depletion and altered reactive oxygen species-associated fluorescence readouts. Competitive gel-based profiling confirmed concentration-dependent engagement of protein cysteine residues in live cells. Quantitative rdTOP-ABPP further identified hundreds of dose-responsive cysteine sites in HeLa and HepG2 cells and revealed a preference for cysteine microenvironments enriched with basic residues. Cross-cell-line comparison highlighted CDK5 Cys53, SMU1 Cys298, and RPSA2 Cys163 as conserved covalent nodes, among which CDK5 Cys53 showed high sensitivity to Ebselen treatment, a finding validated by competitive labeling and MS-based site assignment. Global TMT proteomics revealed extensive remodeling of redox-related and cell-survival-associated pathways, including compensatory upregulation of selenoproteins such as TXNRD1 and GPX family members. Together, these results define a chemical proteomic atlas of Ebselen-cysteine interactions and provide a framework for understanding and optimizing covalent organoselenium therapeutics.

Humans↗
PubMed2004

Chemical strategies for activity-based proteomics.

The assignment of molecular and cellular functions to the numerous protein products encoded by prokaryotic and eukaryotic genomes presents a major challenge for the field of proteomics. To address this problem, chemical approaches have been introduced that utilize small-molecule probes to profile dynamics in enzyme activity in complex proteomes. These strategies for activity-based protein profiling enable both the discovery and functional analysis of enzymes associated with human disease.

Animals↗
PubMed2002

Genome-wide analysis of deoxyadenosine methyltransferase-mediated control of gene expression in Escherichia coli.

Deoxyadenosine methyltransferase (Dam) methylates the deoxyadenine residues in 5'-GATC-3' sequences and is important in many cellular processes in Escherichia coli. We performed a computational analysis of the entire E. coli genome and confirmed that GATC sequences are distributed unevenly in regulatory regions, which suggests that Dam might regulate gene transcription. To test this, a high-density DNA microarray of 4097 E. coli genes was constructed and used to assess the gene expression profiles of the wild type and the dam-16::kam mutant strain grown under four different conditions. We also used two-dimensional electrophoretic analysis of the proteome to assess the protein profiles. The expression of a large number of genes was affected by the dam deficiency. Genes involved in aerobic respiration, stress and SOS responses, amino acid metabolism and nucleotide metabolism were expressed at higher levels in the mutant cells, especially in aerobic conditions. In contrast, transcription of genes participating in anaerobic respiration, flagella biosynthesis, chemotaxis and motility was decreased in the dam mutant strain under both aerobic and low aerobic conditions. Thus, Dam-controlled genes are involved in adjusting the metabolic and respiratory pathways and bacterial motility to suit particular environmental conditions. The promoters of most of these Dam-controlled genes were also found to contain GATC sequences that overlap with recognition sites for two global regulators, fumarate nitrate reduction (Fnr) and catabolite activator protein (CRP). We propose that Dam-mediated methylation plays an important role in the global regulation of genes, particularly those with Fnr and CRP binding sites.

Amino Acids↗
PubMed2004

Fully automated online multi-dimensional protein profiling system for complex mixtures.

For high throughput proteome analysis of highly complex protein mixtures, we have constructed a fully automated online system for multi-dimensional protein profiling, which utilizes a combination of two-dimensional liquid chromatography and tandem mass spectrometry (2D-LC-MS-MS), based on our well-established offline system described previously [K. Fujii, T. Nakano, T. Kawamura, F. Usui, Y. Bando, R. Wang, T. Nishimura, J. Proteome Res. 3 (2004) 712]. A two-valve switching system on a programmable auto sample injector is utilized for online two-dimensional chromatography with strong cation-exchange (SCX) and reversed-phase (RP) separations. The SCX separation is carried out during the equilibration of RP chromatography and the entire sequence of analysis was performed under fully automated conditions within 4 h, based on six SCX fractionations, and 40 min running time for the two-dimensional RP chromatography. In order to evaluate its performance in the detection and identification of proteins, digests of six standard proteins and yeast 20S proteasome have been analyzed and their results were compared to those obtained by the one-dimensional reversed-phase chromatography system (ID-LC-MS-MS). The 2D-LC-MS-MS system demonstrated that both the number of peptide fragments detected and the protein coverage had more than doubled. Furthermore, this multi-dimensional protein profiling system was also applied to the human 26S proteasome, which is one of the highly complex protein mixtures. Consequently, 723 peptide fragments were identified as 31 proteasome components, together with other coexisting proteins in the sample. The identification could be comprehensively performed with a 63% sequence coverage on an average, and additionally, with modifications at the N-terminus. These results indicated that the online 2D-LC-MS-MS system being described here is capable of analyzing highly complex protein mixtures in a high throughput manner, and that it would be applicable to dynamic proteomics.

Automation↗
PubMed2005

A streamlined platform for high-content functional proteomics of primary human specimens.

Achieving information content of satisfactory breadth and depth remains a formidable challenge for proteomics. This problem is particularly relevant to the study of primary human specimens, such as tumor biopsies, which are heterogeneous and of finite quantity. Here we present a functional proteomics strategy that unites the activity-based protein profiling and multidimensional protein identification technologies (ABPP-MudPIT) for the streamlined analysis of human samples. This convergent platform involves a rapid initial phase, in which enzyme activity signatures are generated for functional classification of samples, followed by in-depth analysis of representative members from each class. Using this two-tiered approach, we identified more than 50 enzyme activities in human breast tumors, nearly a third of which represent previously uncharacterized proteins. Comparison with cDNA microarrays revealed enzymes whose activity, but not mRNA expression, depicted tumor class, underscoring the power of ABPP-MudPIT for the discovery of new markers of human disease that may evade detection by other molecular profiling methods.

Biomarkers, Tumor↗